Using Propensity Score Methods to Create Target Populations in Observational Clinical Research.
Publication
, Journal Article
Thomas, L; Li, F; Pencina, M
Published in: JAMA
February 4, 2020
Duke Scholars
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Published In
JAMA
DOI
EISSN
1538-3598
Publication Date
February 4, 2020
Volume
323
Issue
5
Start / End Page
466 / 467
Location
United States
Related Subject Headings
- Tramadol
- Propensity Score
- Osteoarthritis
- Humans
- Health Services Needs and Demand
- General & Internal Medicine
- 42 Health sciences
- 32 Biomedical and clinical sciences
- 11 Medical and Health Sciences
Citation
APA
Chicago
ICMJE
MLA
NLM
Thomas, L., Li, F., & Pencina, M. (2020). Using Propensity Score Methods to Create Target Populations in Observational Clinical Research. JAMA, 323(5), 466–467. https://doi.org/10.1001/jama.2019.21558
Thomas, Laine, Fan Li, and Michael Pencina. “Using Propensity Score Methods to Create Target Populations in Observational Clinical Research.” JAMA 323, no. 5 (February 4, 2020): 466–67. https://doi.org/10.1001/jama.2019.21558.
Thomas L, Li F, Pencina M. Using Propensity Score Methods to Create Target Populations in Observational Clinical Research. JAMA. 2020 Feb 4;323(5):466–7.
Thomas, Laine, et al. “Using Propensity Score Methods to Create Target Populations in Observational Clinical Research.” JAMA, vol. 323, no. 5, Feb. 2020, pp. 466–67. Pubmed, doi:10.1001/jama.2019.21558.
Thomas L, Li F, Pencina M. Using Propensity Score Methods to Create Target Populations in Observational Clinical Research. JAMA. 2020 Feb 4;323(5):466–467.
Published In
JAMA
DOI
EISSN
1538-3598
Publication Date
February 4, 2020
Volume
323
Issue
5
Start / End Page
466 / 467
Location
United States
Related Subject Headings
- Tramadol
- Propensity Score
- Osteoarthritis
- Humans
- Health Services Needs and Demand
- General & Internal Medicine
- 42 Health sciences
- 32 Biomedical and clinical sciences
- 11 Medical and Health Sciences